diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 2cef600ea32..2f47643da50 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -33546,6 +33546,72 @@ "supports_vision": true, "source": "https://cloud.sambanova.ai/plans/pricing" }, + "scx-ai/gemma-4-31B-it": { + "input_cost_per_token": 3e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 131000, + "max_tokens": 131000, + "mode": "chat", + "output_cost_per_token": 9.1e-07, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "scx-ai/gpt-oss-120b": { + "input_cost_per_token": 1.7e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 131000, + "max_tokens": 131000, + "mode": "chat", + "output_cost_per_token": 5.5e-07, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "scx-ai/Llama-4-Maverick-17B-128E-Instruct": { + "input_cost_per_token": 5.3e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 131000, + "max_tokens": 131000, + "mode": "chat", + "output_cost_per_token": 1.62e-06, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "scx-ai/MiniMax-M2.7": { + "cache_read_input_token_cost": 5e-08, + "input_cost_per_token": 4.8e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 192000, + "max_tokens": 192000, + "mode": "chat", + "output_cost_per_token": 1.79e-06, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "scx-ai/Qwen3-32B": { + "input_cost_per_token": 3.6e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 33000, + "max_tokens": 33000, + "mode": "chat", + "output_cost_per_token": 8.7e-07, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, "snowflake/claude-3-5-sonnet": { "litellm_provider": "snowflake", "max_input_tokens": 200000, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index db28118d52b..8464aec769f 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -33637,6 +33637,72 @@ "supports_vision": true, "source": "https://cloud.sambanova.ai/plans/pricing" }, + "scx-ai/gemma-4-31B-it": { + "input_cost_per_token": 3e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 131000, + "max_tokens": 131000, + "mode": "chat", + "output_cost_per_token": 9.1e-07, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "scx-ai/gpt-oss-120b": { + "input_cost_per_token": 1.7e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 131000, + "max_tokens": 131000, + "mode": "chat", + "output_cost_per_token": 5.5e-07, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "scx-ai/Llama-4-Maverick-17B-128E-Instruct": { + "input_cost_per_token": 5.3e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 131000, + "max_tokens": 131000, + "mode": "chat", + "output_cost_per_token": 1.62e-06, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "scx-ai/MiniMax-M2.7": { + "cache_read_input_token_cost": 5e-08, + "input_cost_per_token": 4.8e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 192000, + "max_tokens": 192000, + "mode": "chat", + "output_cost_per_token": 1.79e-06, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "scx-ai/Qwen3-32B": { + "input_cost_per_token": 3.6e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 33000, + "max_tokens": 33000, + "mode": "chat", + "output_cost_per_token": 8.7e-07, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, "snowflake/claude-3-5-sonnet": { "litellm_provider": "snowflake", "max_input_tokens": 200000, diff --git a/tests/test_litellm/llms/openai_like/test_scx_ai_provider.py b/tests/test_litellm/llms/openai_like/test_scx_ai_provider.py index bebd079646e..7994a133a83 100644 --- a/tests/test_litellm/llms/openai_like/test_scx_ai_provider.py +++ b/tests/test_litellm/llms/openai_like/test_scx_ai_provider.py @@ -128,3 +128,43 @@ class TestSCXAIProviderConfig: assert len(router.model_list) == 1 assert router.model_list[0]["model_name"] == "scx-chat" + + +class TestSCXAIModelMetadata: + SCX_MODELS = ( + "scx-ai/Llama-4-Maverick-17B-128E-Instruct", + "scx-ai/gemma-4-31B-it", + "scx-ai/Qwen3-32B", + "scx-ai/MiniMax-M2.7", + "scx-ai/gpt-oss-120b", + ) + VISION_MODELS = ("scx-ai/Llama-4-Maverick-17B-128E-Instruct", "scx-ai/gemma-4-31B-it") + + @staticmethod + def _load(path_parts): + import json + from pathlib import Path + + json_path = Path(__file__).parents[4].joinpath(*path_parts) + with open(json_path) as f: + return json.load(f) + + def test_scx_ai_models_registered_with_correct_metadata(self): + model_cost = self._load(("model_prices_and_context_window.json",)) + for model in self.SCX_MODELS: + info = model_cost.get(model) + assert info is not None, f"{model} missing from model_prices_and_context_window.json" + assert info["litellm_provider"] == "scx-ai" + assert info["mode"] == "chat" + assert info["input_cost_per_token"] > 0 + assert info["output_cost_per_token"] > 0 + assert info["supports_function_calling"] is True + assert info["supports_tool_choice"] is True + assert info.get("supports_vision", False) is (model in self.VISION_MODELS) + + def test_scx_ai_models_synced_to_backup(self): + model_cost = self._load(("model_prices_and_context_window.json",)) + backup = self._load(("litellm", "model_prices_and_context_window_backup.json")) + for model in self.SCX_MODELS: + assert model in backup, f"{model} missing from backup json" + assert backup[model] == model_cost[model], f"{model} differs between root and backup json"